Kermorgant10a
O. Kermorgant, D. Folio, F. Chaumette. A new sensor self-calibration framework from velocity measurements. In IEEE Int. Conf. on Robotics and Automation, ICRA'10, Pages 1524-1529, Anchorage, Alaska, May 2010.
Download [help]
Download Hal paper:
Download paper:
Adobe portable document (pdf) 
Copyright notice:
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder. This page is automatically generated by bib2html v217, © Inria 2002-2024, Projet Lagadic/Rainbow
Abstract
In this paper we propose a new on-line sensor self-calibration framework. The approach is to consider the sensor/robot interaction that links the sensor signal variations to the robot velocity. By on-line calibration, we mean only the actual measurements are used to perform calibration under the condition that the interaction matrix is analytically known. This allows us to propose a very simple and versatile formulation of sensor parameter calibration. Various sensors can be considered, and calibration from different sensory data may be considered within the same process. Intrinsic and extrinsic parameters estimation are formulated as a non-linear minimization problem the jacobian of which can be expressed analytically from the sensor model. Simulations and experiments are presented for a camera observing four points, showing good results in the case of separated intrinsic and extrinsic calibration, and illustrating the possible limitations in the case of simultaneous estimation
Contact
BibTex Reference
@InProceedings{Kermorgant10a,
Author = {Kermorgant, O. and Folio, D. and Chaumette, F.},
Title = {A new sensor self-calibration framework from velocity measurements},
BookTitle = {IEEE Int. Conf. on Robotics and Automation, ICRA'10},
Pages = {1524--1529},
Address = {Anchorage, Alaska},
Month = {May},
Year = {2010}
}
EndNote Reference [help]
Get EndNote Reference (.ref)